Package: eat Title: Efficiency Analysis Trees Version: 0.1.2 Authors@R: c( person(given = "Miriam", family = "Esteve", role = c("cre", "aut"), email = "mestevecampello@gmail.com", comment = c(ORCID = "0000-0002-5908-0581")), person(given = "Víctor", family = "España", role = c("aut"), comment = c(ORCID = "0000-0002-1807-6180")), person(given = "Juan", family = "Aparicio", role = c("aut"), comment = c(ORCID = "0000-0002-0867-0004")), person(given = "Xavier", family = "Barber", role = c("aut"), comment = c(ORCID = "0000-0003-3079-5855")) ) Description: Functions are provided to determine production frontiers and technical efficiency measures through non-parametric techniques based upon regression trees. The package includes code for estimating radial input, output, directional and additive measures, plotting graphical representations of the scores and the production frontiers by means of trees, and determining rankings of importance of input variables in the analysis. Additionally, an adaptation of Random Forest by a set of individual Efficiency Analysis Trees for estimating technical efficiency is also included. More details in: . License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 7.1.2 Imports: dplyr, conflicted, stats, ggplot2, ggparty, partykit, ggrepel, Rdpack, lpSolveAPI, utils, reshape2 Suggests: rmarkdown, testthat, knitr, kableExtra, usethis, devtools RdMacros: Rdpack VignetteBuilder: knitr Depends: R (>= 2.10) URL: https://efficiencytools.wordpress.com/ BugReports: https://github.com/MiriamEsteve/EAT/issues Config/pak/sysreqs: libicu-dev Repository: https://miriamesteve.r-universe.dev Date/Publication: 2022-01-16 12:04:03 UTC RemoteUrl: https://github.com/miriamesteve/eat RemoteRef: HEAD RemoteSha: 94543714b79368b724d62f0564c02b075ca29a1b NeedsCompilation: no Packaged: 2026-10-05 09:04:33 UTC; root Author: Miriam Esteve [cre, aut] (ORCID: ), Víctor España [aut] (ORCID: ), Juan Aparicio [aut] (ORCID: ), Xavier Barber [aut] (ORCID: ) Maintainer: Miriam Esteve